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FY26-DDOT-TSA-Crash Database (TARAS)

Active

State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The District of Columbia Department of Transportation is forecasting a contract for the acquisition of crash analysis software, identified as the FY26-DDOT-TSA-Crash Database (TARAS). This software is designed to allow the agency to efficiently manage and organize extensive crash data retrieved from the Metropolitan Police Department database. By categorizing information by type and location, the system will enable the agency to identify accident patterns and utilize data-driven insights to develop critical road safety improvements. Classified under NAICS code 541511 for custom computer programming services, this initiative focuses on enhancing the city's ability to analyze traffic safety trends. The project is managed by the District of Columbia's transportation agency to ensure a more organized approach to processing thousands of crash records, ultimately aiming to reduce accidents through informed infrastructure and policy changes.

General Info

DDOT seeks crash analysis software to manage data and improve road safety patterns.

Agency

District of Columbia → Transportation (DDOT)

NAICS

541511 - Custom Computer Programming Services

Place of Performance

DC, USA

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Timeline

PostedJan 1

forecast

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Organization & Contact Information

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AgencyDistrict of Columbia → Transportation (DDOT)

ContactsNo contacts available

OfficeDC

Organization / Agency

District of Columbia → Transportation (DDOT)

Office AddressDC

ContactsNo contact information available

Full Description

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The crash analysis software that would enable DDOT to manage and organize thousands of crash data retrieved from the Metropolitan Police Department (MPD) database in various categories, types, and locations to reveal existing accident patterns that help inform the development of road safety improvements.

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